Model Comparison

Llama 3.1 Nemotron Ultra 253B v1 vs Qwen2.5-Coder 32B Instruct

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.1 Nemotron Ultra 253B v1 outperforms in 1 benchmarks (LiveCodeBench), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

221.0B diff

Llama 3.1 Nemotron Ultra 253B v1 has 221.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 690.6% larger.

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
253.0B
Llama 3.1 Nemotron Ultra 253B v1
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 Nemotron Ultra 253B v1 is licensed under Llama 3.1 Community License, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Llama 3.1 Nemotron Ultra 253B v1 is 7 months newer than Qwen2.5-Coder 32B Instruct.

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.0 years ago

6mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Qwen2.5-Coder 32B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher LiveCodeBench score (66.3% vs 31.4%)
Larger context window (128,000 tokens)

Detailed Comparison

FAQ

Common questions about Llama 3.1 Nemotron Ultra 253B v1 vs Qwen2.5-Coder 32B Instruct

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks. Llama 3.1 Nemotron Ultra 253B v1 is made by NVIDIA and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.
Llama 3.1 Nemotron Ultra 253B v1 supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.